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Senior Data ScientistCriteo

THIS JOB HAS EXPIRED

About CRITEO CRTO

Criteo is a global leader in digital performance advertising, working with over 5,000 companies around the world. Criteo has over 800 employees in offices across the U.S., Europe and Asia serving more than 40 countries.

Why work for us?

We are innovative, passionate, fearless, creative, driven, and adaptable. Our core values are at the heart of who we are. We have a spontaneous and vibrant culture, and we truly believe in team spirit and collaboration.

Competitive compensation. Be fancy
Career advancement with global mobility opportunities. A little bit of ?Je ne sais quois?
Vacation policy. Because your mom misses you
Happy hour, snacks, arcade/game rooms. Eat. Drink. Be merry
Travel & reimbursement options. Until jetpacks are a thing
401(k) fully vested matching. Basically free $$$
-Featured in Crain's New York Business Top 50 Best Places to Work in NYC (2012, 2013)

Check out our IPO celebration!!!

Overview

Criteo Labs is pioneering the new sciences underlying online publishing and advertising across all devices ? desktop, smartphones, and tablets. As the center of scientific excellence for Criteo, Criteo Labs in Palo Alto delivers both fundamental and applied scientific leadership through published research, product innovations and new technologies powering the company's products. We are looking for outstanding machine learning research scientists whose skills span the entire spectrum of Machine Learning/Data-Science research, i.e. data-gathering/cleaning, modeling, implementation, publication and presentation. In particular we are seeking researchers with the following skills and experience to contribute to Criteo in driving the future of ad targeting, personalization, content extraction, content matching and other prediction problems.

What will you be doing?

Gather and analyze data, identify key prediction/classification problems, devise solutions and build prototypes
Contribute to the exploration and creation of new scientific understanding
Initiate and propose unique and promising modeling projects, develop new and innovative algorithms and technologies, pursuing patents where appropriate
Stay current on published state-of-the-art algorithms and competing technologies
Maintain world-class academic credentials through publications, presentations, external collaborations and service to the research community
Develop high-performance algorithms for precision targeting, test and implement the algorithms in scalable, product-ready code
Research and investigate academic and industrial data mining, machine learning and modeling techniques to apply to our specific business cases
Interact with other teams to define interfaces and understand and resolve dependencies
Oversee the creation of detailed technical documents, participate in academic conference, publish research papers
Understand and mold the product direction by contributing innovative ideas, specifically as a result of data mining and experimental data modeling
What do we NEED?

Ph.D. in Computer Science, Statistics or related area, MS degree is considered in exceptional cases
Experience with traditional as well as modern statistical learning techniques, including:
Support Vector Machines; Regularization Techniques; Boosting, Random Forests, and other Ensemble Methods.
Strong implementation experience with high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting languages.
Familiarity with Linux/Unix/Shell environments.
Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data.
Experience with end-to-end modeling projects emerging from research efforts
Excellent academic or industrial track record of proposing, conducting and reporting results of original research, plus collaborative research with publications
Strong communication skills both written and oral. This role is expected to articulate and gain acceptance of proposals.
Preferred Skills/Experience:

Graduate or Postdoc experience with large data research projects
Knowledge of Hadoop programming environments (e.g. Pig, Hive).
Criteo, the global leader in scalable personalized retargeting solutions, is growing their U.S. Operation and looking for aggressive and motivated professionals with varying levels of experience to be an integral part of our continued success.